260. Multiple comparison test visualization- The aim of this R package is to visualize results from the multiple (i.e. pairwise) comparison tests. The groups being compared are visualized as nodes of a Hasse diagram. It enables very clear and vivid depiction of large set of groups being compared.

261. Rgrs - R for french sociologists- Some simple functions to make R usage easier for french social sciences students and researchers (data manipulation, cross-tabulation, import/export from some specific softwares...)

264. tabulaR- tabulaR is a comprehensive package for presenting quality tabular output within the R Environment. Differing from xtable and Hmisc, it manipulates, formats and presents tabular data to any R device stream, which can then be used by any structured format.

265. desiRe- desiRe allows the computation and interactive specification of desirability functions of Harrington- and Derringer/Suich-type. Related density and distribution functions, optimization procedures and several different types of charts are provided.

267. lossDev- A Bayesian time series loss development model. Features include skewed-t distribution with time-varying scale parameter, Reversible Jump MCMC for determining the functional form of the consumption path, and a structural break in this path.

270. demoniche - spatial population dynamics- demoniche carries out spatially-explicit structured population modelling for a species. The model simulates stochastic and gradual niche changes, and dispersal between sub-populations to investigate population dynamics in space and time.

271. Marketing Analytics Repository- The Marketing Analysis Repository is a project that aims to bring quantitative Marketing and R together. For example, by developing an R package that supports typical analysis and decision tasks.

273. raster -- spatial data- The 'raster' package deals with basic spatial raster (grid) data access and manipulation. It defines raster classes; can deal with very large files (stored on disk); and includes standard raster functions such as overlay, aggregation, and merge.

274. partDSA- partDSA is a novel tool for generating a piecewise constant estimation list of increasingly complex predictors based on an intensive and comprehensive search over the entire covariate space.

276. Complex Data Visualization- The compDataViz package visualizes datasets with a mix of numeric and categorical data with the ability to stratify these matrices according to a categorical variable. Results of univariate and bivariate statistical tests can also be displayed.

277. CHAID- This package offers an implementation of CHAID, a type of decision tree technique for a nominal scaled dependent variable. The method detects interactions between categorized variables of a data set, one of which is the dependent variable.